1 About


PHOTO BY TYLER MERBLER

Los Angeles, CA has a population of 3.98M people with a median age of 35.6 and a median household income of $54,432. Between 2015 and 2016 the population of Los Angeles, CA grew from 3.97M to 3.98M, a 0.11% increase and its median household income grew from $52,024 to $54,432, a 4.63% increase.


PHOTO BY PAOLO GAMBA

Los Angeles County, CA has a population of 10.1M people with a median age of 36.3 and a median household income of $61,338. Between 2015 and 2016 the population of Los Angeles County, CA declined from 10.2M to 10.1M, a 0.32% decrease and its median household income grew from $59,134 to $61,338, a 3.73% increase.


LA is a tech hub, with $ x ,000 tech jobs roughhty x% of the nation …. COmpanies like Amazon, Tesla, etc …have headquarters in Los Angeles. It is a vibrant segment of the economy. While California is the 7th economy in the world, Los Angeles is the 24th economy in the world bigger than countries like ….
Let’s take a look at the tech industry employment [1] numbers for the past 13 years.

2 Wages and Prospect


2017 Employment by major occupational group, 2016 and projected 2026 (Numbers in thousands) [1]. Tech employees are compensated nicely due to this tech boom. For example, in 207 while the annual medialn wage for all occupations was $37,000 in the U.S., it was $84,600 for the computer occupations, second only to $102,000 of the management occupations as shown in Table 1.


3 Total Jobs & Grownth from 2012 to 2017 - Dinamic Visualization

GoogleVis Motion Chart



Figure 1 shows the total jobs in the city of Los Angeles and County.


Figure 2 shows the grownth of all jobs in the city of Los Angeles and County.


Figure 3 shows the total tech jobs in the city of Los Angeles and County.


Figure 4 represents the year over year grownth of Tech jobs in the city of Los Angeles anc County.

4 Density of Tech Jobs by zip code from 2012 to 2017 - Dinamic Visualization


California is the center of high-tech and innovation in the world. [18].

5 Interactive Map


6 Correlation Between the CHCI and the Median House Income of Los Angeles County Zip Codes


Fig. 8 shows the association between the 2012 CHCI and the 2016 median household income of 282 zip codes in L.A. County. We can see a very strong correlation correlation between the human capital level [23] and the household income for the zip code in L.A. It demonstrates the importance to invest in education (chci) in order to create more productive workforce and more high paying jobs.

Source - 5-year American Community Survey 2012-2016 Global Innovation Index 2018, World Bank Population Data 2016, Q11 - Current country of residence [19-21]

7 Conclusions

8 References

  1. [1] Assumptions Tech industry employment was calculated using the following: (1) Information jobs (NAICS: 51), and (2) Professional, Scientific, & Technical Skills (NAICS: 54). Data source: Quarterly Census of Employment and Wages (QCEW) developed through a cooperative program between the states and the U.S. Bureau of Labor Statistics.– These data are summarized by Industry Sector (2-digit NAICS).
  2. [2] https://www.bls.gov/emp/tables/emp-by-major-occupational-group.htm

Shape Files - https://data.lacity.org/ Los Angeles Open Data ACS

  1. [23] http://www.anderson.ucla.edu/centers/ucla-anderson-forecast/projects-and-partnerships/city-human-capital-index

9 Acknowledgements

#googleWalkout [2] and is bad business - says Forbes [3]. In Fig. 1 (above), we use superhero-themes #batman #wonderwoman to visualize the heavy topic of #gender_equality in #datascience. See a bar chart for a more accurate breakdown [4]. Source: survey question Q1 - What is your gender? Sample size = 23,859 respondents

  1. [2] https://www.theverge.com/2018/11/2/18057716/google-walkout-20-thousand-employees-ceo-sundar-pichai-meeting
  2. [3] https://www.forbes.com/sites/womensmedia/2017/08/03/breaking-down-the-gender-gap-in-data-science/#129d1bb74287
  3. [4] https://www.kaggle.com/paultimothymooney/2018-kaggle-machine-learning-data-science-survey
  4. [5] https://en.wikipedia.org/wiki/Generations_in_the_workforce
  5. [6] Sinton, E (2011). ‘Baby boomers are very privileged human beings’ https://www.telegraph.co.uk/finance/personalfinance/pensions/8840963/Baby-boomers-are-very-privileged-human-beings.html retrieved October 23, 2013 from www.telegraph.co.uk
  6. [7] Ken Blanchard Companies. (2009). Next Generation of workers. http://www.kenblanchard.com/img/pub/Blanchard_Next_Generation_of_Workers.pdf Retrieved October 14, 2013, from kenblanchard.com
  7. [8] Adecco Group UK and Ireland. (n.d.). Managing the modern workforce. http://www.adeccogroupuk.co.uk/SiteCollectionDocuments/Adecco-Group-Workplace-Revolution.pdf Retrieved October 13, 2013, from www.Adeccouk.co.uk
  8. ref. needed
  9. [10] https://en.wikipedia.org/wiki/Affluence_in_the_United_States
  10. [11] https://www.epi.org/blog/top-1-0-percent-reaches-highest-wages-ever-up-157-percent-since-1979/
  11. [12] J. Berengueres, Sketch thinking. 2016
  12. [13] https://en.wikipedia.org/wiki/Marimekko#Marimekko_chart
  13. [14] ref. needed
  14. [15] https://www.kaggle.com/ash316/kaggle-journey-2017-2018
  15. [16] https://en.wikipedia.org/wiki/BRICS
  16. [17] https://www.kaggle.com/harriken/brics-growth
  17. [18] See primary vs. secondary color in https://material.io/design/color/the-color-system.html#color-theme-creation
  18. [19] Dutta, S., Reynoso, R.E., Garanasvili, A., Saxena, K., Lanvin, B., Wunsch-Vincent, S., Le?n, L.R. and Guadagno, F., 2018. THE GLOBAL INNOVATION INDEX 2018: ENERGIZING THE WORLD WITH INNOVATION. GLOBAL INNOVATION INDEX 2018, p.1.
  19. [20] CSV file global innovation in https://www.globalinnovationindex.org/analysis-indicator
  20. [21] World Bank, https://data.worldbank.org/indicator/SP.POP.TOTL
  21. [22] https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient

Generation year brakets and work-ethic attribute

Source - World Bank Population Data 2016, Q11 - Current country of residence [20]